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of 4
pro vyhledávání: '"Daniele Lozzi"'
Autor:
Enrico Mattei, Daniele Lozzi, Alessandro Di Matteo, Alessia Cipriani, Costanzo Manes, Giuseppe Placidi
Publikováno v:
Sensors, Vol 24, Iss 16, p 5207 (2024)
Brain–computer interfaces (BCIs) are pivotal in translating neural activities into control commands for external assistive devices. Non-invasive techniques like electroencephalography (EEG) offer a balance of sensitivity and spatial-temporal resolu
Externí odkaz:
https://doaj.org/article/be7e4ab5830a44d7af85c3c6929e5dd6
Autor:
Matteo Polsinelli, Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Lorenzo Nazzicone, Vincenzo Stornelli, Giuseppe Placidi
Publikováno v:
Sensors, Vol 24, Iss 7, p 2227 (2024)
Computer vision (CV)-based systems using cameras and recognition algorithms offer touchless, cost-effective, precise, and versatile hand tracking. These systems allow unrestricted, fluid, and natural movements without the constraints of wearable devi
Externí odkaz:
https://doaj.org/article/a6b8a3ab22634137b7927737a88cb621
Publikováno v:
Sensors, Vol 23, Iss 7, p 3463 (2023)
Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the tasks it uses are reproducible. When combined with assistive technologies, such as robots, virtual reality, tracking systems, or a combination of them, it can
Externí odkaz:
https://doaj.org/article/f5df29867fce4100b5b41b120a01d932
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71576673e07f224e42761c5cd758b89e
https://doi.org/10.1109/wi-iat55865.2022.00103
https://doi.org/10.1109/wi-iat55865.2022.00103